Classification of Terms on a Positive-Negative Feelings Polarity Scale Based on Emoticons
Објеката
- Тип
- Рад у часопису
- Верзија рада
- објављена верзија
- Језик
- енглески
- Креатор
- Mihailo Škorić
- Извор
- Infotheca
- Издавач
- Faculty of Philology, University of Belgrade
- Датум издавања
- 2017
- Сажетак
- The goal of this paper is to draw attention to the possibility of using emoticon-riddled text on the web in language-neutral sentiment analysis. It introduces several innovations in the existing framework of research and tests their effectiveness. It also presents a software tool especially made for that purpose, explains how it builds a database with sentimental value of terms and offers the user manual. Finally, it presents a software tool that tests the new database and gives some examples of the analysis of the obtained results.
- том
- 17
- издање
- 1
- почетак странице
- 67
- крај странице
- 91
- doi
- 10.18485/infotheca.2017.17.1.4
- issn
- 1450-9687
- Subject
- data mining, information extraction, emotions, text on the web
- Шира категорија рада
- M50
- Ужа категорија рада
- М53
- Права
- Отворени приступ
- Лиценца
- Creative Commons – Attribution-Share Alike 4.0 International
- Формат
- Медија
87-1-561-1-10-20170719.pdf
Mihailo Škorić. "Classification of Terms on a Positive-Negative Feelings Polarity Scale Based on Emoticons" in Infotheca, Faculty of Philology, University of Belgrade (2017). https://doi.org/10.18485/infotheca.2017.17.1.4
This item was submitted on 7. фебруар 2020. by [anonymous user] using the form “Рад у часопису” on the site “Радови”: https://dr.rgf.bg.ac.rs/s/repo
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